Géza Lupkovics

16 papers receiving 160 citations

Peers

Géza Lupkovics
Comparison fields: 5 of 41
  • Cardiology and Cardiovascular Medicine 144
  • Surgery 44
  • Internal Medicine 29
  • Radiology, Nuclear Medicine and Imaging 29
  • Pharmacology 21
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Shunsuke Kiuchi Japan
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Citations per year

Countries citing papers authored by Géza Lupkovics

Since Specialization
Citations

This map shows the geographic impact of Géza Lupkovics's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Géza Lupkovics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Géza Lupkovics more than expected).

Fields of papers citing papers by Géza Lupkovics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Géza Lupkovics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Géza Lupkovics. The network helps show where Géza Lupkovics may publish in the future.

Co-authorship network of co-authors of Géza Lupkovics

This figure shows the co-authorship network connecting the top 25 collaborators of Géza Lupkovics. A scholar is included among the top collaborators of Géza Lupkovics based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Géza Lupkovics. Géza Lupkovics is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
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Obstruktív koszorúér-betegség nélkül kialakuló heveny szívizominfarktus (MINOCA) – gyakoriság és prognózis = Myocardial infarction without obstructive coronary artery disease (MINOCA) – prevalence and prognosis
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A szívinfarktus miatt kezelt betegek ellátása Magyarországon. A Nemzeti Szívinfarktus Regiszter 2015. évi adatainak elemzése | Patient care of patients with myocardial infarction in Hungary. Analysis of National Myocardial Infarction Registry data collecting in 2015
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Szívinfarktus miatt kezelt betegek korai és késői prognózisa. Magyar Infarctus Regiszter Vizsgálat | Short and long term prognosis of patients with myocardial infarction. Hungarian Myocardial Infarction Registry
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[The role of transesophageal echocardiography in the detection of coronary anomalies and anatomical variations].
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[Comparison of invasive and non-invasive measuring of blood pressure in patients following open heart surgery].
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About Géza Lupkovics

Géza Lupkovics is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 17 papers that have together received 168 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Acute Myocardial Infarction Research (7 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Internal Medicine (29 citations), Cardiology and Cardiovascular Medicine (144 citations) and Radiology, Nuclear Medicine and Imaging (29 citations). Géza Lupkovics has collaborated with scholars based in Hungary, Ireland and Pakistan. Frequent co-authors include Előd Papp, Gergely Fehér, László Szapáry, Andrea Fehér, Gabriella Pusch, András Jánosi, Béla Merkely, Zoltán Ruzsa, Róbert Gábor Kiss and László Rudas. Their work appears in journals such as The American Journal of Cardiology, European Journal of Nuclear Medicine and Molecular Imaging and International Journal of Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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